‘Bandit’ algorithms help chemists to discover generally applicable conditions for reactions

In organic chemistry, finding conditions that enable a broad range of compounds to undergo a particular type of reaction is highly desirable. However, conventional methods for doing so consume a lot of time and reagents. A machine-learning method has been developed that overcomes these problems.